廃タイヤからブルーアンモニアへ：安全で持続可能なプロセス設計、多目的最適化および包括的評価
Converting Waste Tires into Blue Ammonia: Safe and Sustainable Process Design, Multiobjective Optimization and Comprehensive Assessment (原題)
Jingyuan Liu, Jianzhao Zhou, Qiming Qian, Sheng Yao Yang, Chang He, Jingzheng Ren
🤖 gxceed AI 要約
日本語
廃タイヤのガス化と炭素回収を統合し、ブルーアンモニアを合成する新規プロセスを提案。安全・技術経済・ライフサイクル評価を実施し、ANN駆動の多目的最適化でLCOA低減と安全性・持続可能性スコア向上を両立させた。従来のSMR経由のMDEA炭素回収プロセスより環境持続可能性スコアが13.04%優れ、再生可能エネルギー導入が更なる改善をもたらすことを示した。
English
Novel processes integrating gasification and carbon capture convert waste tires into blue ammonia, assessed via safety, techno-economic and life-cycle analyses. Machine-learning-driven multiobjective optimization minimizes levelized cost of ammonia while improving safety and sustainability scores. The optimal conventional gasification + MDEA carbon capture route reaches 358.1 $/ton LCOA and outperforms SMR-based pathways by 13.04% in environmental sustainability; renewable integration further boosts sustainability.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
廃棄物由来のブルーアンモニアは、日本のGX推進における水素・アンモニア燃料導入やCCS政策と直結する。資源循環と脱炭素を両立する産業プロセスの評価手法は、国内のカーボンニュートラル実装や企業のScope 3削減戦略に示唆を与える。
In the global GX context
Blue ammonia from waste feedstock speaks directly to global transition finance and hard-to-abate decarbonization pathways, complementing ISSB/TCFD disclosure of Scope 3 and industrial emissions. The integrated safety-LCA-optimization framework offers a template for assessing low-carbon ammonia supply chains under CSRD and emerging hydrogen/ammonia standards.
👥 読者別の含意
🔬研究者:ML駆動の多目的最適化とLCA・安全評価を統合したプロセス設計手法は、低炭素アンモニア研究の評価枠組みとして参考になる。
🏢実務担当者:廃タイヤ由来ブルーアンモニアのコスト・環境性能データは、水素・アンモニア調達やScope 3削減の実現可能性検討に活用できる。
🏛政策担当者:廃棄物・CCS・再生可能エネルギーを組み合わせたアンモニア供給の経済性と環境性は、水素・アンモニア政策や循環経済施策の設計に示唆を与える。
📄 Abstract（原文）
Abstract Ammonia synthesis based on steam methane reforming (SMR) is characterized by intensive energy consumption and high carbon emissions. To address these limitations, novel processes integrating gasification and carbon capture technologies were proposed for converting waste tires into blue ammonia. Detailed safety, techno-economic, and life cycle assessments were conducted to evaluate comprehensive performance. Machine learning-driven multiobjective operation optimization was carried out for reducing levelized cost of ammonia (LCOA) while enhancing safety and sustainability scores based on safe-and-sustainable-by-design framework. Our results highlight the critical role of artificial neural networks in achieving efficient optimization. Additionally, the quantitative impacts of integrating various renewable energy sources were investigated. The results showed the conventional gasification (CG) integrating methyldiethanolamine (MDEA)-based carbon capture alternative achieved the optimal LCOA at 358.1 $/ton in current electricity scenario. A peak environmental sustainability score of 0.443 was achieved, outperforming traditional SMR integrating MDEA-based carbon capture pathway by 13.04%. The safest process is CG integrating monoethanolamine-based carbon capture. Under the renewable scenario, the LCA results highlighted the critical role of renewable energy integration in enhancing the environmental sustainability of waste tires-to-ammonia processes, especially achieving a 0.344 increase in environmental sustainability score with onshore wind electricity at a lower LCOA of 406.0 $/ton in plasma gasification integrating MDEA-based alternative.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1021/acssuschemeng.6c03827first seen 2026-11-12 05:18:36 · last seen 2026-11-13 05:24:09
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